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This Solicitation opportunity from Texas was posted on January 11, 2024. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Software Database Analysis and Updating

Closed
455-24-1023State & Local

Contract Overview

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NAICS: 561320
New
International
Temporary Staffing Services – Major Project
Solicitation # RFP27-TIC-011
The Transportation Investment Corporation, acting for the Ministry of Transportation and Transit of the Province of British Columbia, is soliciting proposals under RFP27-TIC-011 for temporary staffing services to support its People and Culture group in staffing capital projects. The contract seeks a primary and secondary agency to provide personnel on an as-and-when-required basis for roles including Administrative Assistants, Corporate Accountants, Executive Assistants, Office Managers, Finance Clerks, Budget and Accounting Managers, and Senior Recruiters. Services will be performed in Vancouver and Victoria, with a preferred staffing fulfillment timeframe of 24 hours. Award will be based on the highest overall ranking among proponents who meet all mandatory criteria, including English language submission and the completion of specific response and pricing forms. Evaluation is weighted across corporate experience (35%), approach to service provision (35%), price (20%), and capabilities (10%). The successful contractor must manage all screening, criminal record checks, Worksafe BC premiums, and insurance. A performance-based warranty is included, requiring the contractor to replace unsatisfactory workers and forgo billing for the first four hours of service, or forgo 50% of accrued billing if the warranty is extended up to two working days. Pricing is structured as a maximum hourly fee per position.
Transportation Investment Corporation

POSTED

about 18 hours ago

DEADLINE

in 27 days

AI Contract Overview

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The Railroad Commission of Texas is seeking professional data modeling services through a competitive bid process to enhance its seismic learning capabilities. The project involves three main objectives: first, to develop improvements to an existing seismic learning model; second, to create an updated learning model algorithm and data structure that will yield better analytical results; and third, to provide technical training on the new model to ensure ongoing maintenance and future updates. The contract emphasizes the need for expertise in data modeling and algorithm development within the context of seismic data analysis, with a focus on improving the accuracy and efficiency of the commission’s seismic learning tools. The solicitation, identified as number 455-24-1023, was posted on January 11, 2024, with a deadline for responses set for January 25, 2024. It is open to vendors under NAICS code 561320, which pertains to temporary help services, indicating a focus on specialized professional services. Interested parties can contact Valerie Wilcox via email or phone for further details, and additional information about the bid can be accessed through the Texas SmartBuy procurement portal. The project will be performed within Texas, and the commission aims to select a qualified data modeler capable of delivering a robust, updated seismic learning framework along with comprehensive training for its ongoing use.

General Info

Place of Performance

TX, USA

Set-Aside

NONE

Documents

2

IFB 455-24-1023 Software Database Analysis and Updating

PDF, High priority: read this firstifb
High

ESBD CMBL Search Results 920-46

PDF, Low priorityother
Low

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Timeline

PhaseClosed
Posted

Solicitation

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyRailroad Commission of Texas
Contacts1 person available
OfficeN/A
Organization / AgencyRailroad Commission of Texas
Office AddressN/A

Full Description

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The Railroad Commission of Texas (RRC) is soliciting bids for professional services of a data modeler to assist with a project that will focus on three items: (1) develop improvements to seismic learning model, (2) creation of an updated learning model algorithm and data model that will improve overall results, and (3) technical training on the new model for future maintenance and updates. 

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